Efficient subband adaptive filtering with oversampled GDFT filter banks

Research output: Contribution to conferencePaper

7 Citations (Scopus)

Abstract

This paper addresses the numerical efficiency of adaptive filtering implemented in subbands. Our approach first focuses on oversampled GDFT (generalized DFT) filter banks and their potential benefits over other possible subband decompositions. Although the subband filters presented use complex arithmetic, the discussed method allows factorization into a real valued polyphase network, followed by a complex GDFT modulation, which can be mostly implemented via an FFT. Secondly we discuss the advantages and potential savings that can be gained by processing complex subband signals, with particular reference to adaptive system identification problems, for which we give demonstrations of the potential benefits of our GDFT approach compared to adaptive identification in both fullband and critically sampled DCT-IV based pseudo-QMF subbands.

Conference

ConferenceIEE Colloquium on Adaptive Signal Processing for Mobile Communication Systems
CountryUnited Kingdom
CityLondon
Period29/10/9729/10/97

Fingerprint

Adaptive filtering
Filter banks
Discrete Fourier transforms
Adaptive systems
Factorization
Fast Fourier transforms
Identification (control systems)
Demonstrations
Modulation
Decomposition
Processing

Keywords

  • adaptive filters
  • filter banks
  • adaptive signal processing
  • digital filter
  • signal sampling

Cite this

Weiss, S., Lampe, L., & Stewart, R. (1997). Efficient subband adaptive filtering with oversampled GDFT filter banks. Paper presented at IEE Colloquium on Adaptive Signal Processing for Mobile Communication Systems, London, United Kingdom. https://doi.org/10.1049/ic:19971310
Weiss, Stephan ; Lampe, L. ; Stewart, Robert. / Efficient subband adaptive filtering with oversampled GDFT filter banks. Paper presented at IEE Colloquium on Adaptive Signal Processing for Mobile Communication Systems, London, United Kingdom.9 p.
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title = "Efficient subband adaptive filtering with oversampled GDFT filter banks",
abstract = "This paper addresses the numerical efficiency of adaptive filtering implemented in subbands. Our approach first focuses on oversampled GDFT (generalized DFT) filter banks and their potential benefits over other possible subband decompositions. Although the subband filters presented use complex arithmetic, the discussed method allows factorization into a real valued polyphase network, followed by a complex GDFT modulation, which can be mostly implemented via an FFT. Secondly we discuss the advantages and potential savings that can be gained by processing complex subband signals, with particular reference to adaptive system identification problems, for which we give demonstrations of the potential benefits of our GDFT approach compared to adaptive identification in both fullband and critically sampled DCT-IV based pseudo-QMF subbands.",
keywords = "adaptive filters, filter banks, adaptive signal processing, digital filter, signal sampling",
author = "Stephan Weiss and L. Lampe and Robert Stewart",
year = "1997",
month = "10",
doi = "10.1049/ic:19971310",
language = "English",
note = "IEE Colloquium on Adaptive Signal Processing for Mobile Communication Systems ; Conference date: 29-10-1997 Through 29-10-1997",

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Weiss, S, Lampe, L & Stewart, R 1997, 'Efficient subband adaptive filtering with oversampled GDFT filter banks' Paper presented at IEE Colloquium on Adaptive Signal Processing for Mobile Communication Systems, London, United Kingdom, 29/10/97 - 29/10/97, . https://doi.org/10.1049/ic:19971310

Efficient subband adaptive filtering with oversampled GDFT filter banks. / Weiss, Stephan; Lampe, L.; Stewart, Robert.

1997. Paper presented at IEE Colloquium on Adaptive Signal Processing for Mobile Communication Systems, London, United Kingdom.

Research output: Contribution to conferencePaper

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T1 - Efficient subband adaptive filtering with oversampled GDFT filter banks

AU - Weiss, Stephan

AU - Lampe, L.

AU - Stewart, Robert

PY - 1997/10

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N2 - This paper addresses the numerical efficiency of adaptive filtering implemented in subbands. Our approach first focuses on oversampled GDFT (generalized DFT) filter banks and their potential benefits over other possible subband decompositions. Although the subband filters presented use complex arithmetic, the discussed method allows factorization into a real valued polyphase network, followed by a complex GDFT modulation, which can be mostly implemented via an FFT. Secondly we discuss the advantages and potential savings that can be gained by processing complex subband signals, with particular reference to adaptive system identification problems, for which we give demonstrations of the potential benefits of our GDFT approach compared to adaptive identification in both fullband and critically sampled DCT-IV based pseudo-QMF subbands.

AB - This paper addresses the numerical efficiency of adaptive filtering implemented in subbands. Our approach first focuses on oversampled GDFT (generalized DFT) filter banks and their potential benefits over other possible subband decompositions. Although the subband filters presented use complex arithmetic, the discussed method allows factorization into a real valued polyphase network, followed by a complex GDFT modulation, which can be mostly implemented via an FFT. Secondly we discuss the advantages and potential savings that can be gained by processing complex subband signals, with particular reference to adaptive system identification problems, for which we give demonstrations of the potential benefits of our GDFT approach compared to adaptive identification in both fullband and critically sampled DCT-IV based pseudo-QMF subbands.

KW - adaptive filters

KW - filter banks

KW - adaptive signal processing

KW - digital filter

KW - signal sampling

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Weiss S, Lampe L, Stewart R. Efficient subband adaptive filtering with oversampled GDFT filter banks. 1997. Paper presented at IEE Colloquium on Adaptive Signal Processing for Mobile Communication Systems, London, United Kingdom. https://doi.org/10.1049/ic:19971310